Name
Abstract | ||
|---|---|---|
The existing query-log based on-line index maintenance approaches rely on frequency distribution of terms in the static query-log. Though these approaches are proved to be efficient, but in real world, the frequency distribution of the terms changes over a period of time. This negatively affects the efficiency of the static query-log based approaches. To overcome this problem, we propose an index tuning strategy for reorganizing the indexes according to the latest frequency distribution of the terms captured from query-logs.Experimental results show that the proposed tuning strategy improves the performance of static query-log based approaches. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2063576.2063874 | CIKM |
Keywords | Field | DocType |
real world,on-line index maintenance approach,frequency distribution,proposed tuning strategy,latest frequency distribution,terms change,static query-log,existing query-log,search engine,indexation,inverted index,negative affect,inverted file | Inverted index,Data mining,Search engine,Information retrieval,Computer science | Conference |
Citations | PageRank | References |
2 | 0.37 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sairam Gurajada | 1 | 118 | 7.83 |
| P. Sreenivasa Kumar | 2 | 227 | 29.64 |